Bayesian nonparametric generative models for causal inference with missing at random covariates

Jason Roy, Kirsten J Lum, Michael J. Daniels +3

We propose a general Bayesian nonparametric (BNP) approach to causal inference in the point treatment setting. The joint distribution of the observed data (outcome, treatment, and…